We propose a new fusion algorithm based on the Dempster-Shafer theory of evidence. The main interest of this method is a new distribution of mass functions. Generally the methods used are the mass consonant distribution and the partially mass consonant distribution. The originality of this work is to define uncertain and inaccurate data by using a fuzzy statistical classification algorithm such as FSEM (Fuzzy Stochastic Estimation Maximization). Application to multiband image fusion produces interesting results for classification.


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    Title :

    Fuzzy statistical classification method for multiband image fusion


    Contributors:
    Germain, M. (author) / Voorons, M. (author) / Boucher, J.M. (author) / Benie, G.B. (author)


    Publication date :

    2002-01-01


    Size :

    765617 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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